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Description

To succeed in the digital marketplace, it is essential for your data to be of the utmost quality and decision-grade, as it fuels your key operations. Tricentis Data Integrity ensures that your data remains complete and suitable throughout its journey from source systems to data warehouses, ultimately reaching your reports, dashboards, and business operations. The journey of your analytical and operational data is fraught with potential disruptions as it traverses an increasingly intricate IT landscape. Prevent costly downstream problems by identifying data errors early with Tricentis Data Integrity, a comprehensive solution that offers automated and continuous testing across all stages. In the fast-paced digital landscape we face today, relying solely on traditional data testing practices falls short. Outdated manual data checks are not only cumbersome and time-consuming but also lack the scalability needed, while point solutions can create hazardous gaps in your data integrity. Embracing advanced testing tools is now more critical than ever to ensure data reliability and operational success.

Description

Eliminate all manual procedures, potential error sources, and inefficiencies. Avoid the need to constantly re-engineer your data warehouse with every shift in business requirements. Implement automatic quality checks both between and within data sources and respond swiftly when issues arise, which is essential for numerous data users. It’s important to genuinely trust your data now. Create a “gold record” reference point to ensure that business teams always have access to the most up-to-date information available. Establish one unified version of the truth that can be accessed anytime, anywhere. Develop an intermediate model that organizes, stores, and preserves your data independently of how it will be used. Be agile in responding to evolving data sources and business inquiries. Seamlessly connect all your data sources—from data lakes and operational systems to spreadsheets and legacy tools—just like you would with the initial one. Ensure data is stored, preserved, and enhanced in quality to streamline data warehouse automation processes. Data should be organized, enriched, and thoroughly documented so that it is accessible in well-structured datasets (information marts). In doing so, you pave the way for more efficient decision-making across the organization.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Google Sheets
Microsoft Excel
Microsoft Power BI
Planview Hub
Planview Software Product Delivery
Qlik Data Integration
SAP Store
SBOX
Tableau
Toucan

Integrations

Google Sheets
Microsoft Excel
Microsoft Power BI
Planview Hub
Planview Software Product Delivery
Qlik Data Integration
SAP Store
SBOX
Tableau
Toucan

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Tricentis

Founded

2007

Country

United States

Website

www.tricentis.com/products/data-integrity/

Vendor Details

Company Name

dFakto

Founded

2000

Country

Belgium

Website

www.dfakto.com/datafaktory-data-warehouse-automation/

Product Features

Automated Testing

Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance

Product Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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